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IDEAL
2005
Springer
15 years 8 months ago
A Comparative Study of Two Novel Predictor Set Scoring Methods
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
Chia Huey Ooi, Madhu Chetty
AUSAI
2007
Springer
15 years 7 months ago
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
Peter J. Tan, David L. Dowe, Trevor I. Dix
HCI
2009
15 years 24 days ago
Movement and Recovery Analysis of a Mouse-Replacement Interface for Users with Severe Disabilities
The Camera Mouse is a mouse-replacement interface for users with movement impairments. It tracks a selected body feature, such as the nose, eyebrow or finger, through a web camera ...
Caitlin Connor, Emily Yu, John J. Magee, Esra Cans...
JMLR
2011
192views more  JMLR 2011»
14 years 10 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
CVPR
2008
IEEE
16 years 5 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...